Suresh Pokharel is a Lecturer and Ph.D. in Computing and Information Sciences from RIT who applies nine years of experience in AI/ML and bioinformatics to bridge computational methods and biological discovery. His research sits at the intersection of machine learning and computational biology, with practical industry experience developing codon-optimization tools for mRNA therapeutics at Bayer and deep learning models for predicting protein post-translational modifications. He combines academic rigor from consecutive graduate research roles with hands-on software engineering—building APIs, handling large pharmaceutical datasets, and exploring genetic-algorithm frameworks—to produce interpretable, scalable models for biomedical problems. Based in Rochester, NY, he brings cross-disciplinary fluency (data science, bioinformatics, disaster analytics) and a track record of turning literature review insights into improved tooling and evaluation on real-world datasets.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computing and Information Sciences, Doctor of Philosophy - PhD, Computing and Information Sciences at Rochester Institute of Technology
Master's degree, Computer Science, Master's degree, Computer Science at Tribhuvan University
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Suresh Pokharel - Lecturer at Rochester Institute of Technology